Falcons.AI PROTECT - CSAM Detection for AWS Infrastructure

PROTECT by Falcons.AI - Industry-Leading CSAM/CSE Detection for Your AWS Environment

PROTECT delivers automated detection of child sexual abuse material (CSAM) and child sexual exploitation (CSE) visual content through a self-contained Docker container that runs entirely within your AWS infrastructure. Built on Falcons.AI's flagship vision AI model - the most downloaded Computer Vision detection model on HuggingFace with over 1 billion downloads - PROTECT gives trust and safety teams the power to identify harmful content at scale while maintaining total data privacy and data loss prevention (DLP).

Why PROTECT Runs Inside Your Infrastructure

Unlike cloud-dependent moderation APIs that route sensitive content through third-party servers, PROTECT operates entirely within your AWS VPC. Images and videos never leave your environment, giving you full data sovereignty. This architecture eliminates data egress to third parties, keeping your content pipeline under your direct control. A single REST API call to the /v1/check-csam endpoint is all it takes to classify content, making integration straightforward for any backend stack.

How a Content Moderation Workflow Works with PROTECT

Consider a social platform processing user-uploaded images. When a user submits visual content, your application routes the image to the PROTECT container running inside your VPC. The container performs inference locally and returns a classification response. Based on the result, your platform can automatically quarantine flagged content, escalate it to human reviewers, or allow it to pass through - all without any content leaving your AWS environment. This same pattern applies to marketplaces screening product listings, messaging platforms scanning shared media, or cloud storage providers auditing uploaded files.

Deployment on AWS

Getting started is straightforward: Subscribe to PROTECT via AWS Marketplace Deploy the Docker container to your EC2 instance or ECS cluster Configure your Falcons.AI license key as an environment variable Begin sending content to the /v1/check-csam HTTPS endpoint

The container handles all inference locally while securely reporting usage metrics to Falcons.AI for license management.

Key Capabilities Real-time CSAM/CSE detection via a simple HTTPS REST API Zero data egress - runs fully within your AWS VPC with no content sent to third parties Sub-second inference on standard compute instances Automatic license validation and usage metering managed by the container Flexible deployment - compatible with EC2, ECS, and Docker-based environments Broad applicability - suitable for social platforms, marketplaces, communication tools, dating apps, cloud storage providers, and any content pipeline requiring automated moderation

Data Privacy by Design

PROTECT's containerized architecture means your most sensitive content stays within infrastructure you control. The only outbound communication from the container is license validation and usage metering to Falcons.AI. This design supports organizations operating under strict data handling requirements by ensuring that content classification happens entirely on your own compute resources.

Built on Proven AI

PROTECT is powered by Falcons.AI's Computer Vision model, which has achieved over 1 billion downloads on HuggingFace. This foundation provides robust detection capabilities that your team can deploy with confidence as part of an automated content moderation pipeline.

Get Started

Subscribe through AWS Marketplace to begin deploying PROTECT in your environment today. For technical questions or to discuss how PROTECT fits into your content moderation workflow, reach out to the Falcons.AI team through the support contact provided on this listing.